Zobrazeno 1 - 10
of 5 508
pro vyhledávání: '"Teja P"'
Autor:
Teja Polisetty, Ryan Lohre, Evan A. Glass, Daniel P. Swanson, Adam R. Bowler, Sanne Vancleef, Ward Bartels, Bassem Elhassan, Jacob M. Kirsch, Eric T. Ricchetti, Andrew Jawa
Publikováno v:
JSES International, Vol 8, Iss 6, Pp 1362- (2024)
Externí odkaz:
https://doaj.org/article/cd06afe08d454b3e999be16861be1f50
Publikováno v:
Journal of Experimental Orthopaedics, Vol 11, Iss 3, Pp n/a-n/a (2024)
Abstract Introduction Fragility analysis is a method of further characterising the robustness of statistical outcomes. This study evaluates the statistical fragility of randomised controlled trials (RCTs) comparing patellar resurfacing versus non‐p
Externí odkaz:
https://doaj.org/article/407e3bf361834355ae401a61e9068086
Predicting primary and middle-school students’ preferences for online learning with machine learning
Publikováno v:
South African Journal of Childhood Education, Vol 13, Iss 1, Pp e1-e6 (2023)
Background: The COVID-19 pandemic has brought attention to student psychological wellness. Because of isolation, lack of socialisation and intellectual and physical development from excessive media use, primary and secondary school students are at hi
Externí odkaz:
https://doaj.org/article/9d9ab5d515994886a1ab9afcd63d27b0
Autor:
Al Ansari Mohammed Saleh, Kaliappan S., Mrudula G., Dehankar Prashant B., Maranan Ramya, Teja Putti Venkata Siva
Publikováno v:
E3S Web of Conferences, Vol 556, p 01021 (2024)
This research deals with the optimization of milling parameters for Al7075/nano SiC/TiC hybrid metal matrix composites by Taguchi approach an Artificial Neural Network. Experimental trials conducted in accordance with Taguchi L9 orthogonal array desi
Externí odkaz:
https://doaj.org/article/17509b74b6a1477da60ab8fab5d44dcc
Autor:
Chaudhry, Hafsa, Patel, Hetvi, Avadhootha, Sai Teja, Poreddy, Sushanthik Reddy, Chollati, Swapan Gupta, Namineni, Ujwala, Ashqar, Huthaifa I.
Gender differences were examined in sensitivity to sleep quality, in the context of blue light exposure from smartphones. Our hypothesis was created based on our journal article findings that females are more prone to be inclined to the prolonged usa
Externí odkaz:
http://arxiv.org/abs/2411.02388
Autor:
Uppina, Ameya, Krishnan, S Navaneetha, Teja, Talluri Krishna Sai, Iyer, Nikhil N, R, Joe Dhanith P
Diabetic Retinopathy DR is a severe complication of diabetes. Damaged or abnormal blood vessels can cause loss of vision. The need for massive screening of a large population of diabetic patients has generated an interest in a computer-aided fully au
Externí odkaz:
http://arxiv.org/abs/2411.01251
Autor:
Chitty-Venkata, Krishna Teja, Raskar, Siddhisanket, Kale, Bharat, Ferdaus, Farah, Tanikanti, Aditya, Raffenetti, Ken, Taylor, Valerie, Emani, Murali, Vishwanath, Venkatram
Large Language Models (LLMs) have propelled groundbreaking advancements across several domains and are commonly used for text generation applications. However, the computational demands of these complex models pose significant challenges, requiring e
Externí odkaz:
http://arxiv.org/abs/2411.00136
Autor:
Ganapathy, Nagarajan, Chary, Podakanti Satyajith, Pithani, Teja Venkata Ramana Kumar, Kavati, Pavan, S, Arun Kumar
This Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrat
Externí odkaz:
http://arxiv.org/abs/2410.19944
We consider the task of classifying trajectories of boat activities as a proxy for assessing maritime threats. Previous approaches have considered entropy-based metrics for clustering boat activity into three broad categories: random walk, following,
Externí odkaz:
http://arxiv.org/abs/2410.20054
Autor:
Sierra, Elena, Gillespie, Lauren E., Soltani, Salim, Exposito-Alonso, Moises, Kattenborn, Teja
Climate change is negatively impacting the world's biodiversity. To build automated systems to monitor these negative biodiversity impacts, large-scale, volunteer-collected datasets like iNaturalist are built from community-identified, natural imager
Externí odkaz:
http://arxiv.org/abs/2410.19816